Pandas Profiling Report

Dataset statistics

Number of variables	33
Number of observations	5963
Missing cells	130551
Missing cells (%)	66.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.5 MiB
Average record size in memory	264.0 B

Variable types

Numeric	20
Categorical	13

Alerts

`Location Name` has a high cardinality: 3753 distinct values	High cardinality
`Year` is highly correlated with `Tsu` and 4 other fields	High correlation
`Tsu` is highly correlated with `Year`	High correlation
`Vol` is highly correlated with `Injuries` and 1 other fields	High correlation
`MMI Int` is highly correlated with `Deaths` and 2 other fields	High correlation
`Deaths` is highly correlated with `Year` and 19 other fields	High correlation
`Death Description` is highly correlated with `Year` and 14 other fields	High correlation
`Missing` is highly correlated with `Deaths` and 13 other fields	High correlation
`Missing Description` is highly correlated with `Deaths` and 12 other fields	High correlation
`Injuries` is highly correlated with `Vol` and 18 other fields	High correlation
`Injuries Description` is highly correlated with `Deaths` and 16 other fields	High correlation
`Damage ($Mil)` is highly correlated with `Injuries` and 7 other fields	High correlation
`Damage Description` is highly correlated with `Deaths` and 16 other fields	High correlation
`Houses Destroyed` is highly correlated with `Deaths` and 17 other fields	High correlation
`Houses Destroyed Description` is highly correlated with `Deaths` and 14 other fields	High correlation
`Houses Damaged` is highly correlated with `Deaths` and 19 other fields	High correlation
`Houses Damaged Description` is highly correlated with `Damage Description` and 8 other fields	High correlation
`Total Deaths` is highly correlated with `Year` and 20 other fields	High correlation
`Total Death Description` is highly correlated with `Year` and 15 other fields	High correlation
`Total Missing` is highly correlated with `Deaths` and 11 other fields	High correlation
`Total Missing Description` is highly correlated with `Missing` and 7 other fields	High correlation
`Total Injuries` is highly correlated with `Vol` and 20 other fields	High correlation
`Total Injuries Description` is highly correlated with `Deaths` and 18 other fields	High correlation
`Total Damage ($Mil)` is highly correlated with `Injuries` and 6 other fields	High correlation
`Total Damage Description` is highly correlated with `Deaths` and 18 other fields	High correlation
`Total Houses Destroyed` is highly correlated with `Deaths` and 21 other fields	High correlation
`Total Houses Destroyed Description` is highly correlated with `Deaths` and 14 other fields	High correlation
`Total Houses Damaged` is highly correlated with `MMI Int` and 22 other fields	High correlation
`Total Houses Damaged Description` is highly correlated with `Damage Description` and 8 other fields	High correlation
`Tsu` is highly correlated with `Vol`	High correlation
`Vol` is highly correlated with `Tsu`	High correlation
`Focal Depth (km)` is highly correlated with `Missing`	High correlation
`Deaths` is highly correlated with `Missing` and 4 other fields	High correlation
`Death Description` is highly correlated with `Missing Description` and 4 other fields	High correlation
`Missing` is highly correlated with `Focal Depth (km)` and 7 other fields	High correlation
`Missing Description` is highly correlated with `Death Description` and 6 other fields	High correlation
`Injuries` is highly correlated with `Deaths` and 9 other fields	High correlation
`Injuries Description` is highly correlated with `Death Description` and 6 other fields	High correlation
`Damage ($Mil)` is highly correlated with `Houses Destroyed` and 4 other fields	High correlation
`Damage Description` is highly correlated with `Injuries Description` and 7 other fields	High correlation
`Houses Destroyed` is highly correlated with `Injuries` and 5 other fields	High correlation
`Houses Destroyed Description` is highly correlated with `Injuries Description` and 6 other fields	High correlation
`Houses Damaged` is highly correlated with `Injuries` and 5 other fields	High correlation
`Houses Damaged Description` is highly correlated with `Damage Description` and 4 other fields	High correlation
`Total Deaths` is highly correlated with `Deaths` and 4 other fields	High correlation
`Total Death Description` is highly correlated with `Death Description` and 6 other fields	High correlation
`Total Missing` is highly correlated with `Deaths` and 6 other fields	High correlation
`Total Missing Description` is highly correlated with `Missing Description` and 3 other fields	High correlation
`Total Injuries` is highly correlated with `Deaths` and 10 other fields	High correlation
`Total Injuries Description` is highly correlated with `Death Description` and 7 other fields	High correlation
`Total Damage ($Mil)` is highly correlated with `Damage ($Mil)`	High correlation
`Total Damage Description` is highly correlated with `Death Description` and 8 other fields	High correlation
`Total Houses Destroyed` is highly correlated with `Missing` and 7 other fields	High correlation
`Total Houses Destroyed Description` is highly correlated with `Injuries Description` and 6 other fields	High correlation
`Total Houses Damaged` is highly correlated with `Injuries` and 5 other fields	High correlation
`Total Houses Damaged Description` is highly correlated with `Damage Description` and 4 other fields	High correlation
`Year` is highly correlated with `Tsu`	High correlation
`Tsu` is highly correlated with `Year`	High correlation
`Vol` is highly correlated with `Injuries`	High correlation
`Deaths` is highly correlated with `Death Description` and 8 other fields	High correlation
`Death Description` is highly correlated with `Deaths` and 8 other fields	High correlation
`Missing` is highly correlated with `Deaths` and 6 other fields	High correlation
`Missing Description` is highly correlated with `Deaths` and 11 other fields	High correlation
`Injuries` is highly correlated with `Vol` and 9 other fields	High correlation
`Injuries Description` is highly correlated with `Deaths` and 9 other fields	High correlation
`Damage ($Mil)` is highly correlated with `Damage Description` and 2 other fields	High correlation
`Damage Description` is highly correlated with `Damage ($Mil)` and 10 other fields	High correlation
`Houses Destroyed` is highly correlated with `Injuries` and 12 other fields	High correlation
`Houses Destroyed Description` is highly correlated with `Damage Description` and 8 other fields	High correlation
`Houses Damaged` is highly correlated with `Missing Description` and 9 other fields	High correlation
`Houses Damaged Description` is highly correlated with `Damage Description` and 8 other fields	High correlation
`Total Deaths` is highly correlated with `Deaths` and 10 other fields	High correlation
`Total Death Description` is highly correlated with `Deaths` and 10 other fields	High correlation
`Total Missing` is highly correlated with `Missing` and 4 other fields	High correlation
`Total Missing Description` is highly correlated with `Missing` and 5 other fields	High correlation
`Total Injuries` is highly correlated with `Deaths` and 8 other fields	High correlation
`Total Injuries Description` is highly correlated with `Deaths` and 10 other fields	High correlation
`Total Damage ($Mil)` is highly correlated with `Damage ($Mil)` and 2 other fields	High correlation
`Total Damage Description` is highly correlated with `Damage ($Mil)` and 10 other fields	High correlation
`Total Houses Destroyed` is highly correlated with `Missing Description` and 13 other fields	High correlation
`Total Houses Destroyed Description` is highly correlated with `Damage Description` and 8 other fields	High correlation
`Total Houses Damaged` is highly correlated with `Missing Description` and 9 other fields	High correlation
`Total Houses Damaged Description` is highly correlated with `Damage Description` and 8 other fields	High correlation
`Missing Description` is highly correlated with `Total Missing Description`	High correlation
`Total Death Description` is highly correlated with `Death Description`	High correlation
`Houses Destroyed Description` is highly correlated with `Total Houses Destroyed Description` and 3 other fields	High correlation
`Total Houses Damaged Description` is highly correlated with `Houses Damaged Description`	High correlation
`Total Houses Destroyed Description` is highly correlated with `Houses Destroyed Description` and 3 other fields	High correlation
`Total Missing Description` is highly correlated with `Missing Description`	High correlation
`Houses Damaged Description` is highly correlated with `Houses Destroyed Description` and 2 other fields	High correlation
`Damage Description` is highly correlated with `Houses Destroyed Description` and 2 other fields	High correlation
`Injuries Description` is highly correlated with `Total Injuries Description`	High correlation
`Death Description` is highly correlated with `Total Death Description`	High correlation
`Total Damage Description` is highly correlated with `Houses Destroyed Description` and 2 other fields	High correlation
`Total Injuries Description` is highly correlated with `Injuries Description`	High correlation
`Tsu` is highly correlated with `Longitude` and 5 other fields	High correlation
`Vol` is highly correlated with `Latitude` and 8 other fields	High correlation
`Latitude` is highly correlated with `Vol` and 1 other fields	High correlation
`Longitude` is highly correlated with `Tsu` and 2 other fields	High correlation
`MMI Int` is highly correlated with `Vol`	High correlation
`Deaths` is highly correlated with `Missing` and 10 other fields	High correlation
`Death Description` is highly correlated with `Vol` and 4 other fields	High correlation
`Missing` is highly correlated with `Tsu` and 6 other fields	High correlation
`Missing Description` is highly correlated with `Tsu` and 8 other fields	High correlation
`Injuries` is highly correlated with `Deaths` and 8 other fields	High correlation
`Injuries Description` is highly correlated with `Vol` and 8 other fields	High correlation
`Damage ($Mil)` is highly correlated with `Tsu` and 7 other fields	High correlation
`Damage Description` is highly correlated with `Injuries Description` and 8 other fields	High correlation
`Houses Destroyed` is highly correlated with `Deaths` and 8 other fields	High correlation
`Houses Destroyed Description` is highly correlated with `Death Description` and 7 other fields	High correlation
`Houses Damaged` is highly correlated with `Deaths` and 8 other fields	High correlation
`Houses Damaged Description` is highly correlated with `Vol` and 7 other fields	High correlation
`Total Deaths` is highly correlated with `Deaths` and 10 other fields	High correlation
`Total Death Description` is highly correlated with `Death Description` and 7 other fields	High correlation
`Total Missing` is highly correlated with `Tsu` and 6 other fields	High correlation
`Total Missing Description` is highly correlated with `Deaths` and 8 other fields	High correlation
`Total Injuries` is highly correlated with `Deaths` and 8 other fields	High correlation
`Total Injuries Description` is highly correlated with `Vol` and 8 other fields	High correlation
`Total Damage ($Mil)` is highly correlated with `Tsu` and 7 other fields	High correlation
`Total Damage Description` is highly correlated with `Injuries Description` and 7 other fields	High correlation
`Total Houses Destroyed` is highly correlated with `Deaths` and 12 other fields	High correlation
`Total Houses Destroyed Description` is highly correlated with `Vol` and 8 other fields	High correlation
`Total Houses Damaged` is highly correlated with `Deaths` and 8 other fields	High correlation
`Total Houses Damaged Description` is highly correlated with `Vol` and 7 other fields	High correlation
`Tsu` has 4154 (69.7%) missing values	Missing
`Vol` has 5892 (98.8%) missing values	Missing
`Focal Depth (km)` has 2801 (47.0%) missing values	Missing
`Mag` has 1679 (28.2%) missing values	Missing
`MMI Int` has 3157 (52.9%) missing values	Missing
`Deaths` has 3962 (66.4%) missing values	Missing
`Death Description` has 3511 (58.9%) missing values	Missing
`Missing` has 5939 (99.6%) missing values	Missing
`Missing Description` has 5939 (99.6%) missing values	Missing
`Injuries` has 4719 (79.1%) missing values	Missing
`Injuries Description` has 4518 (75.8%) missing values	Missing
`Damage ($Mil)` has 5457 (91.5%) missing values	Missing
`Damage Description` has 1654 (27.7%) missing values	Missing
`Houses Destroyed` has 5176 (86.8%) missing values	Missing
`Houses Destroyed Description` has 4259 (71.4%) missing values	Missing
`Houses Damaged` has 5469 (91.7%) missing values	Missing
`Houses Damaged Description` has 4992 (83.7%) missing values	Missing
`Total Deaths` has 4184 (70.2%) missing values	Missing
`Total Death Description` has 3856 (64.7%) missing values	Missing
`Total Missing` has 5936 (99.5%) missing values	Missing
`Total Missing Description` has 5933 (99.5%) missing values	Missing
`Total Injuries` has 4700 (78.8%) missing values	Missing
`Total Injuries Description` has 4498 (75.4%) missing values	Missing
`Total Damage ($Mil)` has 5485 (92.0%) missing values	Missing
`Total Damage Description` has 2632 (44.1%) missing values	Missing
`Total Houses Destroyed` has 5146 (86.3%) missing values	Missing
`Total Houses Destroyed Description` has 4183 (70.1%) missing values	Missing
`Total Houses Damaged` has 5522 (92.6%) missing values	Missing
`Total Houses Damaged Description` has 5099 (85.5%) missing values	Missing
`Deaths` is highly skewed (γ1 = 21.11729164)	Skewed
`Injuries` is highly skewed (γ1 = 24.75840512)	Skewed
`Houses Destroyed` is highly skewed (γ1 = 25.40501293)	Skewed
`Houses Damaged` is highly skewed (γ1 = 20.24621769)	Skewed
`Total Injuries` is highly skewed (γ1 = 22.55838787)	Skewed
`Total Houses Destroyed` is highly skewed (γ1 = 25.26872884)	Skewed
`Total Houses Damaged` is highly skewed (γ1 = 20.95380115)	Skewed

Reproduction

Analysis started	2022-01-08 22:21:17.117661
Analysis finished	2022-01-08 22:23:07.786015
Duration	1 minute and 50.67 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

Year
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION

Distinct	922
Distinct (%)	15.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1809.625021

Minimum	-2150
Maximum	2021
Zeros	0
Zeros (%)	0.0%
Negative	42
Negative (%)	0.7%
Memory size	46.7 KiB

Quantile statistics

Minimum	-2150
5-th percentile	1067.1
Q1	1823
median	1929
Q3	1990
95-th percentile	2016
Maximum	2021
Range	4171
Interquartile range (IQR)	167

Descriptive statistics

Standard deviation	369.1792014
Coefficient of variation (CV)	0.2040086742
Kurtosis	20.38200133
Mean	1809.625021
Median Absolute Deviation (MAD)	71
Skewness	-3.916413992
Sum	10790794
Variance	136293.2827
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2008	75	1.3%
2004	73	1.2%
2003	67	1.1%
2018	65	1.1%
2007	62	1.0%
2010	61	1.0%
2017	61	1.0%
2006	60	1.0%
2019	59	1.0%
2009	58	1.0%
Other values (912)	5322	89.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-2150	1	< 0.1%
-2000	2	< 0.1%
-1610	1	< 0.1%
-1566	1	< 0.1%
-1450	1	< 0.1%
-1250	1	< 0.1%
-1050	1	< 0.1%
-759	1	< 0.1%
-590	1	< 0.1%
-525	1	< 0.1%

Value	Count	Frequency (%)
2021	35	0.6%
2020	29	0.5%
2019	59	1.0%
2018	65	1.1%
2017	61	1.0%
2016	52	0.9%
2015	46	0.8%
2014	51	0.9%
2013	53	0.9%
2012	44	0.7%

Tsu
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	1808
Distinct (%)	99.9%
Missing	4154
Missing (%)	69.7%
Infinite	0
Infinite (%)	0.0%
Mean	2257.036484

Minimum	1
Maximum	5821
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	46.7 KiB

Quantile statistics

Minimum	1
5-th percentile	192.2
Q1	1016
median	1879
Q3	3134
95-th percentile	5662.2
Maximum	5821
Range	5820
Interquartile range (IQR)	2118

Descriptive statistics

Standard deviation	1666.248914
Coefficient of variation (CV)	0.7382463357
Kurtosis	-0.2614910128
Mean	2257.036484
Median Absolute Deviation (MAD)	985
Skewness	0.8733344802
Sum	4082979
Variance	2776385.443
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1926	2	< 0.1%
312	1	< 0.1%
2179	1	< 0.1%
1808	1	< 0.1%
3145	1	< 0.1%
3410	1	< 0.1%
3419	1	< 0.1%
278	1	< 0.1%
3208	1	< 0.1%
43	1	< 0.1%
Other values (1798)	1798	30.2%
(Missing)	4154	69.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
3	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%
12	1	< 0.1%
19	1	< 0.1%
23	1	< 0.1%
26	1	< 0.1%

Value	Count	Frequency (%)
5821	1	< 0.1%
5820	1	< 0.1%
5819	1	< 0.1%
5818	1	< 0.1%
5817	1	< 0.1%
5816	1	< 0.1%
5815	1	< 0.1%
5811	1	< 0.1%
5809	1	< 0.1%
5806	1	< 0.1%

Vol
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	71
Distinct (%)	100.0%
Missing	5892
Missing (%)	98.8%
Infinite	0
Infinite (%)	0.0%
Mean	3714.774648

Minimum	16
Maximum	7542
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	46.7 KiB

Quantile statistics

Minimum	16
5-th percentile	529
Q1	1344
median	3833
Q3	5405.5
95-th percentile	7538.5
Maximum	7542
Range	7526
Interquartile range (IQR)	4061.5

Descriptive statistics

Standard deviation	2447.753099
Coefficient of variation (CV)	0.6589237117
Kurtosis	-1.26010209
Mean	3714.774648
Median Absolute Deviation (MAD)	2482
Skewness	0.0995489924
Sum	263749
Variance	5991495.234
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2882	1	< 0.1%
4907	1	< 0.1%
489	1	< 0.1%
7244	1	< 0.1%
7539	1	< 0.1%
1346	1	< 0.1%
3314	1	< 0.1%
7537	1	< 0.1%
7444	1	< 0.1%
1350	1	< 0.1%
Other values (61)	61	1.0%
(Missing)	5892	98.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
16	1	< 0.1%
43	1	< 0.1%
353	1	< 0.1%
489	1	< 0.1%
569	1	< 0.1%
581	1	< 0.1%
585	1	< 0.1%
664	1	< 0.1%
679	1	< 0.1%
752	1	< 0.1%

Value	Count	Frequency (%)
7542	1	< 0.1%
7541	1	< 0.1%
7540	1	< 0.1%
7539	1	< 0.1%
7538	1	< 0.1%
7537	1	< 0.1%
7536	1	< 0.1%
7504	1	< 0.1%
7444	1	< 0.1%
7284	1	< 0.1%

Location Name
Categorical

HIGH CARDINALITY

Distinct	3753
Distinct (%)	62.9%
Missing	1
Missing (%)	< 0.1%
Memory size	46.7 KiB

CHINA: YUNNAN PROVINCE	67
RUSSIA: KURIL ISLANDS	53
TURKEY	44
CHINA: SICHUAN PROVINCE	42
VANUATU ISLANDS	32
Other values (3748)	5724

Length

Max length	52
Median length	23
Mean length	24.56239517
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3113 ?
Unique (%)	52.2%

Sample

1st row	TURKEY: LICE
2nd row	TAIWAN: HUALIEN
3rd row	GREECE: S
4th row	TURKEY
5th row	MEXICO

Common Values

Value	Count	Frequency (%)
CHINA: YUNNAN PROVINCE	67	1.1%
RUSSIA: KURIL ISLANDS	53	0.9%
TURKEY	44	0.7%
CHINA: SICHUAN PROVINCE	42	0.7%
VANUATU ISLANDS	32	0.5%
BALKANS NW: CROATIA	30	0.5%
SOLOMON ISLANDS	29	0.5%
PERU	26	0.4%
CHINA: GANSU PROVINCE	25	0.4%
SWITZERLAND	25	0.4%
Other values (3743)	5589	93.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
china	590	3.2%
province	523	2.9%
islands	412	2.3%
japan	395	2.2%
iran	375	2.1%
indonesia	371	2.0%
turkey	319	1.8%
italy	306	1.7%
greece	247	1.4%
new	239	1.3%
Other values (4264)	14383	79.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Latitude
Real number (ℝ)

HIGH CORRELATION

Distinct	127
Distinct (%)	2.1%
Missing	49
Missing (%)	0.8%
Infinite	0
Infinite (%)	0.0%
Mean	22.36980047

Minimum	-63
Maximum	73
Zeros	36
Zeros (%)	0.6%
Negative	1136
Negative (%)	19.1%
Memory size	46.7 KiB

Quantile statistics

Minimum	-63
5-th percentile	-23
Q1	10
median	32
Q3	39
95-th percentile	46
Maximum	73
Range	136
Interquartile range (IQR)	29

Descriptive statistics

Standard deviation	22.9016982
Coefficient of variation (CV)	1.023777491
Kurtosis	0.3878274207
Mean	22.36980047
Median Absolute Deviation (MAD)	10
Skewness	-1.033648504
Sum	132295
Variance	524.4877805
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
38	362	6.1%
36	300	5.0%
39	256	4.3%
40	232	3.9%
41	226	3.8%
37	223	3.7%
35	205	3.4%
34	151	2.5%
43	135	2.3%
44	134	2.2%
Other values (117)	3690	61.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-63	1	< 0.1%
-62	1	< 0.1%
-61	2	< 0.1%
-60	2	< 0.1%
-59	2	< 0.1%
-58	3	0.1%
-56	2	< 0.1%
-55	1	< 0.1%
-54	4	0.1%
-53	2	< 0.1%

Value	Count	Frequency (%)
73	1	< 0.1%
66	3	0.1%
65	2	< 0.1%
64	13	0.2%
62	1	< 0.1%
61	7	0.1%
60	6	0.1%
59	3	0.1%
58	8	0.1%
57	11	0.2%

Longitude
Real number (ℝ)

HIGH CORRELATION

Distinct	328
Distinct (%)	5.5%
Missing	49
Missing (%)	0.8%
Infinite	0
Infinite (%)	0.0%
Mean	38.1061887

Minimum	-180
Maximum	180
Zeros	17
Zeros (%)	0.3%
Negative	1540
Negative (%)	25.8%
Memory size	46.7 KiB

Quantile statistics

Minimum	-180
5-th percentile	-104
Q1	-9
median	44
Q3	115
95-th percentile	152
Maximum	180
Range	360
Interquartile range (IQR)	124

Descriptive statistics

Standard deviation	86.69290993
Coefficient of variation (CV)	2.275034919
Kurtosis	-0.7735401149
Mean	38.1061887
Median Absolute Deviation (MAD)	69
Skewness	-0.4656465378
Sum	225360
Variance	7515.660631
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
121	95	1.6%
-71	93	1.6%
122	81	1.4%
15	81	1.4%
-72	75	1.3%
21	73	1.2%
36	73	1.2%
-70	72	1.2%
-77	70	1.2%
16	68	1.1%
Other values (318)	5133	86.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-180	3	0.1%
-179	4	0.1%
-178	13	0.2%
-177	10	0.2%
-176	10	0.2%
-175	8	0.1%
-174	6	0.1%
-173	5	0.1%
-172	7	0.1%
-171	1	< 0.1%

Value	Count	Frequency (%)
180	2	< 0.1%
179	13	0.2%
178	10	0.2%
177	8	0.1%
176	6	0.1%
175	8	0.1%
174	6	0.1%
173	11	0.2%
172	10	0.2%
171	2	< 0.1%

Focal Depth (km)
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	196
Distinct (%)	6.2%
Missing	2801
Missing (%)	47.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.5170778

Minimum	0
Maximum	675
Zeros	14
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	46.7 KiB

Quantile statistics

Minimum	0
5-th percentile	5
Q1	10
median	25
Q3	39
95-th percentile	120
Maximum	675
Range	675
Interquartile range (IQR)	29

Descriptive statistics

Standard deviation	70.07431672
Coefficient of variation (CV)	1.729500757
Kurtosis	43.2963092
Mean	40.5170778
Median Absolute Deviation (MAD)	15
Skewness	6.017458179
Sum	128115
Variance	4910.409863
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	474	7.9%
33	368	6.2%
15	126	2.1%
60	120	2.0%
20	97	1.6%
5	89	1.5%
25	73	1.2%
30	67	1.1%
12	65	1.1%
40	64	1.1%
Other values (186)	1619	27.2%
(Missing)	2801	47.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	14	0.2%
1	13	0.2%
2	9	0.2%
3	15	0.3%
4	20	0.3%
5	89	1.5%
6	36	0.6%
7	43	0.7%
8	53	0.9%
9	41	0.7%

Value	Count	Frequency (%)
675	1	< 0.1%
670	1	< 0.1%
664	1	< 0.1%
651	1	< 0.1%
650	2	< 0.1%
640	1	< 0.1%
636	1	< 0.1%
633	1	< 0.1%
631	1	< 0.1%
629	1	< 0.1%

Mag
Real number (ℝ_≥0)

MISSING

Distinct	9
Distinct (%)	0.2%
Missing	1679
Missing (%)	28.2%
Infinite	0
Infinite (%)	0.0%
Mean	6.54248366

Minimum	2
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	46.7 KiB

Quantile statistics

Minimum	2
5-th percentile	5
Q1	6
median	7
Q3	7
95-th percentile	8
Maximum	10
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.09987667
Coefficient of variation (CV)	0.1681130175
Kurtosis	-0.309326104
Mean	6.54248366
Median Absolute Deviation (MAD)	1
Skewness	-0.2602109155
Sum	28028
Variance	1.209728689
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
7	1313	22.0%
6	1286	21.6%
8	885	14.8%
5	642	10.8%
4	102	1.7%
9	42	0.7%
3	9	0.2%
2	4	0.1%
10	1	< 0.1%
(Missing)	1679	28.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	4	0.1%
3	9	0.2%
4	102	1.7%
5	642	10.8%
6	1286	21.6%
7	1313	22.0%
8	885	14.8%
9	42	0.7%
10	1	< 0.1%

Value	Count	Frequency (%)
10	1	< 0.1%
9	42	0.7%
8	885	14.8%
7	1313	22.0%
6	1286	21.6%
5	642	10.8%
4	102	1.7%
3	9	0.2%
2	4	0.1%

MMI Int
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	11
Distinct (%)	0.4%
Missing	3157
Missing (%)	52.9%
Infinite	0
Infinite (%)	0.0%
Mean	8.248752673

Minimum	2
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	46.7 KiB

Quantile statistics

Minimum	2
5-th percentile	5
Q1	7
median	8
Q3	10
95-th percentile	11
Maximum	12
Range	10
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.806146234
Coefficient of variation (CV)	0.2189599211
Kurtosis	0.2007898038
Mean	8.248752673
Median Absolute Deviation (MAD)	1
Skewness	-0.4446667522
Sum	23146
Variance	3.262164219
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
8	625	10.5%
10	588	9.9%
9	503	8.4%
7	466	7.8%
6	220	3.7%
11	128	2.1%
5	115	1.9%
12	71	1.2%
4	61	1.0%
3	20	0.3%
(Missing)	3157	52.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	9	0.2%
3	20	0.3%
4	61	1.0%
5	115	1.9%
6	220	3.7%
7	466	7.8%
8	625	10.5%
9	503	8.4%
10	588	9.9%
11	128	2.1%

Value	Count	Frequency (%)
12	71	1.2%
11	128	2.1%
10	588	9.9%
9	503	8.4%
8	625	10.5%
7	466	7.8%
6	220	3.7%
5	115	1.9%
4	61	1.0%
3	20	0.3%

Deaths
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct	404
Distinct (%)	20.2%
Missing	3962
Missing (%)	66.4%
Infinite	0
Infinite (%)	0.0%
Mean	3613.196402

Minimum	1
Maximum	830000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	46.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	21
Q3	300
95-th percentile	13000
Maximum	830000
Range	829999
Interquartile range (IQR)	297

Descriptive statistics

Standard deviation	25162.77812
Coefficient of variation (CV)	6.964132398
Kurtosis	612.3145464
Mean	3613.196402
Median Absolute Deviation (MAD)	20
Skewness	21.11729164
Sum	7230006
Variance	633165402.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	283	4.7%
2	161	2.7%
3	87	1.5%
4	67	1.1%
5	53	0.9%
6	41	0.7%
7	38	0.6%
8	31	0.5%
20	29	0.5%
2000	29	0.5%
Other values (394)	1182	19.8%
(Missing)	3962	66.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	283	4.7%
2	161	2.7%
3	87	1.5%
4	67	1.1%
5	53	0.9%
6	41	0.7%
7	38	0.6%
8	31	0.5%
9	26	0.4%
10	28	0.5%

Value	Count	Frequency (%)
830000	1	< 0.1%
316000	1	< 0.1%
260000	1	< 0.1%
250000	1	< 0.1%
242769	1	< 0.1%
200000	2	< 0.1%
150000	1	< 0.1%
142807	1	< 0.1%
130000	1	< 0.1%
110000	1	< 0.1%

Death Description
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.2%
Missing	3511
Missing (%)	58.9%
Memory size	46.7 KiB

1.0	1269
3.0	583
4.0	351
2.0	248
0.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	4.0
2nd row	1.0
3rd row	1.0
4th row	3.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1269	21.3%
3.0	583	9.8%
4.0	351	5.9%
2.0	248	4.2%
0.0	1	< 0.1%
(Missing)	3511	58.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	1269	51.8%
3.0	583	23.8%
4.0	351	14.3%
2.0	248	10.1%
0.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Missing
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	20
Distinct (%)	83.3%
Missing	5939
Missing (%)	99.6%
Infinite	0
Infinite (%)	0.0%
Mean	1941.958333

Minimum	1
Maximum	43476
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	46.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3.75
median	19
Q3	135.5
95-th percentile	785
Maximum	43476
Range	43475
Interquartile range (IQR)	131.75

Descriptive statistics

Standard deviation	8849.970005
Coefficient of variation (CV)	4.557239902
Kurtosis	23.95984787
Mean	1941.958333
Median Absolute Deviation (MAD)	18
Skewness	4.893123659
Sum	46607
Variance	78321969.09
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
1	3	0.1%
3	3	0.1%
114	1	< 0.1%
15	1	< 0.1%
68	1	< 0.1%
17	1	< 0.1%
667	1	< 0.1%
9	1	< 0.1%
70	1	< 0.1%
329	1	< 0.1%
Other values (10)	10	0.2%
(Missing)	5939	99.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	3	0.1%
3	3	0.1%
4	1	< 0.1%
5	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
15	1	< 0.1%
17	1	< 0.1%
21	1	< 0.1%
30	1	< 0.1%

Value	Count	Frequency (%)
43476	1	< 0.1%
800	1	< 0.1%
700	1	< 0.1%
667	1	< 0.1%
329	1	< 0.1%
200	1	< 0.1%
114	1	< 0.1%
70	1	< 0.1%
68	1	< 0.1%
62	1	< 0.1%

Missing Description
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	16.7%
Missing	5939
Missing (%)	99.6%
Memory size	46.7 KiB

1.0	13
3.0	6
2.0	4
4.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	4.2%

Sample

1st row	3.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
1.0	13	0.2%
3.0	6	0.1%
2.0	4	0.1%
4.0	1	< 0.1%
(Missing)	5939	99.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	13	54.2%
3.0	6	25.0%
2.0	4	16.7%
4.0	1	4.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Injuries
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct	346
Distinct (%)	27.8%
Missing	4719
Missing (%)	79.1%
Infinite	0
Infinite (%)	0.0%
Mean	2266.669614

Minimum	1
Maximum	799000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	46.7 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	10
median	40
Q3	200
95-th percentile	3299.25
Maximum	799000
Range	798999
Interquartile range (IQR)	190

Descriptive statistics

Standard deviation	26435.78842
Coefficient of variation (CV)	11.66283267
Kurtosis	697.9841874
Mean	2266.669614
Median Absolute Deviation (MAD)	37
Skewness	24.75840512
Sum	2819737
Variance	698850909.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	56	0.9%
2	46	0.8%
200	43	0.7%
100	39	0.7%
3	39	0.7%
4	37	0.6%
5	35	0.6%
6	33	0.6%
30	30	0.5%
20	26	0.4%
Other values (336)	860	14.4%
(Missing)	4719	79.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	56	0.9%
2	46	0.8%
3	39	0.7%
4	37	0.6%
5	35	0.6%
6	33	0.6%
7	19	0.3%
8	18	0.3%
9	16	0.3%
10	25	0.4%

Value	Count	Frequency (%)
799000	1	< 0.1%
374171	1	< 0.1%
166836	1	< 0.1%
146599	1	< 0.1%
105000	1	< 0.1%
100000	1	< 0.1%
76000	1	< 0.1%
50000	2	< 0.1%
47000	1	< 0.1%
38568	1	< 0.1%

Injuries Description
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.3%
Missing	4518
Missing (%)	75.8%
Memory size	46.7 KiB

1.0	730
3.0	376
2.0	193
4.0	146

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.0
2nd row	3.0
3rd row	1.0
4th row	1.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
1.0	730	12.2%
3.0	376	6.3%
2.0	193	3.2%
4.0	146	2.4%
(Missing)	4518	75.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	730	50.5%
3.0	376	26.0%
2.0	193	13.4%
4.0	146	10.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Damage ($Mil)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	172
Distinct (%)	34.0%
Missing	5457
Missing (%)	91.5%
Infinite	0
Infinite (%)	0.0%
Mean	1210.284585

Minimum	0
Maximum	100000
Zeros	21
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	46.7 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	4
median	24
Q3	209
95-th percentile	5000
Maximum	100000
Range	100000
Interquartile range (IQR)	205

Descriptive statistics

Standard deviation	6706.617517
Coefficient of variation (CV)	5.54135581
Kurtosis	146.3901291
Mean	1210.284585
Median Absolute Deviation (MAD)	23
Skewness	11.22555577
Sum	612404
Variance	44978718.52
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	57	1.0%
5	49	0.8%
2	26	0.4%
0	21	0.4%
3	14	0.2%
20	13	0.2%
4	13	0.2%
25	11	0.2%
8	11	0.2%
100	10	0.2%
Other values (162)	281	4.7%
(Missing)	5457	91.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	21	0.4%
1	57	1.0%
2	26	0.4%
3	14	0.2%
4	13	0.2%
5	49	0.8%
6	6	0.1%
7	4	0.1%
8	11	0.2%
9	3	0.1%

Value	Count	Frequency (%)
100000	1	< 0.1%
86000	1	< 0.1%
40000	1	< 0.1%
30000	1	< 0.1%
28000	1	< 0.1%
20000	2	< 0.1%
16200	1	< 0.1%
15800	1	< 0.1%
15000	1	< 0.1%
14000	1	< 0.1%

Damage Description
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.1%
Missing	1654
Missing (%)	27.7%
Memory size	46.7 KiB

2.0	1474
3.0	1290
1.0	1070
4.0	475

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.0
2nd row	2.0
3rd row	3.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
2.0	1474	24.7%
3.0	1290	21.6%
1.0	1070	17.9%
4.0	475	8.0%
(Missing)	1654	27.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	1474	34.2%
3.0	1290	29.9%
1.0	1070	24.8%
4.0	475	11.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Houses Destroyed
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct	425
Distinct (%)	54.0%
Missing	5176
Missing (%)	86.8%
Infinite	0
Infinite (%)	0.0%
Mean	18227.3507

Minimum	1
Maximum	5360000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	46.7 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	70
median	540
Q3	4134
95-th percentile	53570.5
Maximum	5360000
Range	5359999
Interquartile range (IQR)	4064

Descriptive statistics

Standard deviation	197572.1422
Coefficient of variation (CV)	10.83932303
Kurtosis	682.8264957
Mean	18227.3507
Median Absolute Deviation (MAD)	529
Skewness	25.40501293
Sum	14344925
Variance	3.903475139 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	19	0.3%
100	18	0.3%
300	15	0.3%
500	15	0.3%
200	14	0.2%
2000	12	0.2%
50	12	0.2%
1500	11	0.2%
1000	10	0.2%
40	9	0.2%
Other values (415)	652	10.9%
(Missing)	5176	86.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	19	0.3%
2	9	0.2%
3	7	0.1%
4	4	0.1%
5	8	0.1%
6	5	0.1%
7	5	0.1%
8	7	0.1%
9	2	< 0.1%
10	7	0.1%

Value	Count	Frequency (%)
5360000	1	< 0.1%
959000	1	< 0.1%
498852	1	< 0.1%
412000	1	< 0.1%
400000	1	< 0.1%
392000	1	< 0.1%
339000	1	< 0.1%
264878	1	< 0.1%
200000	2	< 0.1%
150000	1	< 0.1%

Houses Destroyed Description
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.3%
Missing	4259
Missing (%)	71.4%
Memory size	46.7 KiB

3.0	664
4.0	425
1.0	348
2.0	266
0.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	1.0
2nd row	2.0
3rd row	3.0
4th row	1.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
3.0	664	11.1%
4.0	425	7.1%
1.0	348	5.8%
2.0	266	4.5%
0.0	1	< 0.1%
(Missing)	4259	71.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3.0	664	39.0%
4.0	425	24.9%
1.0	348	20.4%
2.0	266	15.6%
0.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Houses Damaged
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct	321
Distinct (%)	65.0%
Missing	5469
Missing (%)	91.7%
Infinite	0
Infinite (%)	0.0%
Mean	25488.4251

Minimum	1
Maximum	5360000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	46.7 KiB

Quantile statistics

Minimum	1
5-th percentile	9.3
Q1	100
median	710
Q3	4000
95-th percentile	75634.85
Maximum	5360000
Range	5359999
Interquartile range (IQR)	3900

Descriptive statistics

Standard deviation	248692.1254
Coefficient of variation (CV)	9.757061271
Kurtosis	432.1266608
Mean	25488.4251
Median Absolute Deviation (MAD)	682
Skewness	20.24621769
Sum	12591282
Variance	6.184777324 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	15	0.3%
500	10	0.2%
50	9	0.2%
1000	8	0.1%
20	8	0.1%
2000	7	0.1%
200	7	0.1%
700	6	0.1%
6	6	0.1%
600	6	0.1%
Other values (311)	412	6.9%
(Missing)	5469	91.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	4	0.1%
2	4	0.1%
3	3	0.1%
4	3	0.1%
5	2	< 0.1%
6	6	0.1%
7	2	< 0.1%
8	1	< 0.1%
10	3	0.1%
11	2	< 0.1%

Value	Count	Frequency (%)
5360000	1	< 0.1%
959000	1	< 0.1%
500000	1	< 0.1%
400000	1	< 0.1%
392000	1	< 0.1%
339000	1	< 0.1%
264878	1	< 0.1%
256697	1	< 0.1%
188383	1	< 0.1%
184000	1	< 0.1%

Houses Damaged Description
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.4%
Missing	4992
Missing (%)	83.7%
Memory size	46.7 KiB

3.0	291
4.0	250
1.0	236
2.0	194

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	2.0
3rd row	1.0
4th row	3.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
3.0	291	4.9%
4.0	250	4.2%
1.0	236	4.0%
2.0	194	3.3%
(Missing)	4992	83.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3.0	291	30.0%
4.0	250	25.7%
1.0	236	24.3%
2.0	194	20.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Total Deaths
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	401
Distinct (%)	22.5%
Missing	4184
Missing (%)	70.2%
Infinite	0
Infinite (%)	0.0%
Mean	3844.855537

Minimum	1
Maximum	830000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	46.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	18
Q3	253.5
95-th percentile	12000
Maximum	830000
Range	829999
Interquartile range (IQR)	250.5

Descriptive statistics

Standard deviation	27097.33474
Coefficient of variation (CV)	7.047686053
Kurtosis	513.8618059
Mean	3844.855537
Median Absolute Deviation (MAD)	17
Skewness	19.31677834
Sum	6839998
Variance	734265550.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	278	4.7%
2	159	2.7%
3	83	1.4%
4	56	0.9%
5	55	0.9%
6	35	0.6%
7	30	0.5%
8	28	0.5%
11	27	0.5%
12	25	0.4%
Other values (391)	1003	16.8%
(Missing)	4184	70.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	278	4.7%
2	159	2.7%
3	83	1.4%
4	56	0.9%
5	55	0.9%
6	35	0.6%
7	30	0.5%
8	28	0.5%
9	22	0.4%
10	23	0.4%

Value	Count	Frequency (%)
830000	1	< 0.1%
316000	1	< 0.1%
260000	1	< 0.1%
250000	1	< 0.1%
242769	1	< 0.1%
227899	1	< 0.1%
200000	2	< 0.1%
150000	1	< 0.1%
142807	1	< 0.1%
130000	1	< 0.1%

Total Death Description
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.2%
Missing	3856
Missing (%)	64.7%
Memory size	46.7 KiB

1.0	1162
3.0	450
4.0	317
2.0	178

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.0
2nd row	1.0
3rd row	1.0
4th row	3.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1162	19.5%
3.0	450	7.5%
4.0	317	5.3%
2.0	178	3.0%
(Missing)	3856	64.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	1162	55.1%
3.0	450	21.4%
4.0	317	15.0%
2.0	178	8.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Total Missing
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	21
Distinct (%)	77.8%
Missing	5936
Missing (%)	99.5%
Infinite	0
Infinite (%)	0.0%
Mean	1798.481481

Minimum	1
Maximum	43476
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	46.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	30
Q3	169
95-th percentile	1468.5
Maximum	43476
Range	43475
Interquartile range (IQR)	165

Descriptive statistics

Standard deviation	8338.250621
Coefficient of variation (CV)	4.636272715
Kurtosis	26.87068241
Mean	1798.481481
Median Absolute Deviation (MAD)	29
Skewness	5.178470429
Sum	48559
Variance	69526423.41
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
1	4	0.1%
3	3	0.1%
30	2	< 0.1%
329	1	< 0.1%
15	1	< 0.1%
138	1	< 0.1%
1755	1	< 0.1%
17	1	< 0.1%
667	1	< 0.1%
9	1	< 0.1%
Other values (11)	11	0.2%
(Missing)	5936	99.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	4	0.1%
3	3	0.1%
5	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
15	1	< 0.1%
17	1	< 0.1%
21	1	< 0.1%
30	2	< 0.1%
62	1	< 0.1%

Value	Count	Frequency (%)
43476	1	< 0.1%
1755	1	< 0.1%
800	1	< 0.1%
700	1	< 0.1%
667	1	< 0.1%
329	1	< 0.1%
200	1	< 0.1%
138	1	< 0.1%
114	1	< 0.1%
100	1	< 0.1%

Total Missing Description
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	13.3%
Missing	5933
Missing (%)	99.5%
Memory size	46.7 KiB

1.0	17
3.0	8
2.0	3
4.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	17	0.3%
3.0	8	0.1%
2.0	3	0.1%
4.0	2	< 0.1%
(Missing)	5933	99.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	17	56.7%
3.0	8	26.7%
2.0	3	10.0%
4.0	2	6.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Total Injuries
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct	353
Distinct (%)	27.9%
Missing	4700
Missing (%)	78.8%
Infinite	0
Infinite (%)	0.0%
Mean	2463.782264

Minimum	1
Maximum	799000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	46.7 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	10
median	40
Q3	200
95-th percentile	3283.8
Maximum	799000
Range	798999
Interquartile range (IQR)	190

Descriptive statistics

Standard deviation	27536.04023
Coefficient of variation (CV)	11.17632862
Kurtosis	593.7097416
Mean	2463.782264
Median Absolute Deviation (MAD)	37
Skewness	22.55838787
Sum	3111757
Variance	758233511.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	60	1.0%
2	46	0.8%
200	42	0.7%
100	41	0.7%
3	40	0.7%
4	39	0.7%
5	34	0.6%
6	33	0.6%
30	27	0.5%
20	26	0.4%
Other values (343)	875	14.7%
(Missing)	4700	78.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	60	1.0%
2	46	0.8%
3	40	0.7%
4	39	0.7%
5	34	0.6%
6	33	0.6%
7	22	0.4%
8	16	0.3%
9	16	0.3%
10	25	0.4%

Value	Count	Frequency (%)
799000	1	< 0.1%
374171	1	< 0.1%
300000	1	< 0.1%
166836	1	< 0.1%
146599	1	< 0.1%
105000	1	< 0.1%
100000	1	< 0.1%
76000	1	< 0.1%
50000	2	< 0.1%
47000	1	< 0.1%

Total Injuries Description
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.3%
Missing	4498
Missing (%)	75.4%
Memory size	46.7 KiB

1.0	739
3.0	377
2.0	202
4.0	147

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.0
2nd row	3.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	739	12.4%
3.0	377	6.3%
2.0	202	3.4%
4.0	147	2.5%
(Missing)	4498	75.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	739	50.4%
3.0	377	25.7%
2.0	202	13.8%
4.0	147	10.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Total Damage ($Mil)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	174
Distinct (%)	36.4%
Missing	5485
Missing (%)	92.0%
Infinite	0
Infinite (%)	0.0%
Mean	1753.046025

Minimum	0
Maximum	220137
Zeros	16
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	46.7 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	5
median	27
Q3	264.25
95-th percentile	5345
Maximum	220137
Range	220137
Interquartile range (IQR)	259.25

Descriptive statistics

Standard deviation	12154.37955
Coefficient of variation (CV)	6.933291756
Kurtosis	232.555246
Mean	1753.046025
Median Absolute Deviation (MAD)	26
Skewness	14.16524399
Sum	837956
Variance	147728942.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	54	0.9%
5	42	0.7%
2	24	0.4%
0	16	0.3%
4	13	0.2%
3	11	0.2%
25	11	0.2%
8	10	0.2%
20	10	0.2%
100	9	0.2%
Other values (164)	278	4.7%
(Missing)	5485	92.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	16	0.3%
1	54	0.9%
2	24	0.4%
3	11	0.2%
4	13	0.2%
5	42	0.7%
6	7	0.1%
7	3	0.1%
8	10	0.2%
9	3	0.1%

Value	Count	Frequency (%)
220137	1	< 0.1%
100000	1	< 0.1%
86000	1	< 0.1%
40000	1	< 0.1%
30000	1	< 0.1%
28000	1	< 0.1%
20000	2	< 0.1%
16200	1	< 0.1%
15800	1	< 0.1%
15000	1	< 0.1%

Total Damage Description
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.1%
Missing	2632
Missing (%)	44.1%
Memory size	46.7 KiB

2.0	1049
1.0	1010
3.0	809
4.0	463

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	1.0
3rd row	1.0
4th row	3.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
2.0	1049	17.6%
1.0	1010	16.9%
3.0	809	13.6%
4.0	463	7.8%
(Missing)	2632	44.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	1049	31.5%
1.0	1010	30.3%
3.0	809	24.3%
4.0	463	13.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Total Houses Destroyed
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct	432
Distinct (%)	52.9%
Missing	5146
Missing (%)	86.3%
Infinite	0
Infinite (%)	0.0%
Mean	18798.04774

Minimum	1
Maximum	5360000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	46.7 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	67
median	540
Q3	4000
95-th percentile	53829.2
Maximum	5360000
Range	5359999
Interquartile range (IQR)	3933

Descriptive statistics

Standard deviation	195579.1795
Coefficient of variation (CV)	10.40422826
Kurtosis	684.6438969
Mean	18798.04774
Median Absolute Deviation (MAD)	530
Skewness	25.26872884
Sum	15358005
Variance	3.825121544 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	23	0.4%
100	19	0.3%
500	15	0.3%
300	15	0.3%
200	13	0.2%
1500	13	0.2%
2000	12	0.2%
50	12	0.2%
1000	10	0.2%
2	10	0.2%
Other values (422)	675	11.3%
(Missing)	5146	86.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	23	0.4%
2	10	0.2%
3	7	0.1%
4	4	0.1%
5	8	0.1%
6	5	0.1%
7	7	0.1%
8	6	0.1%
9	3	0.1%
10	7	0.1%

Value	Count	Frequency (%)
5360000	1	< 0.1%
959000	1	< 0.1%
695000	1	< 0.1%
498852	1	< 0.1%
412000	1	< 0.1%
400000	1	< 0.1%
392000	1	< 0.1%
339000	1	< 0.1%
264878	1	< 0.1%
250000	1	< 0.1%

Total Houses Destroyed Description
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.2%
Missing	4183
Missing (%)	70.1%
Memory size	46.7 KiB

3.0	692
4.0	447
1.0	358
2.0	283

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	2.0
3rd row	3.0
4th row	1.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
3.0	692	11.6%
4.0	447	7.5%
1.0	358	6.0%
2.0	283	4.7%
(Missing)	4183	70.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3.0	692	38.9%
4.0	447	25.1%
1.0	358	20.1%
2.0	283	15.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Total Houses Damaged
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct	299
Distinct (%)	67.8%
Missing	5522
Missing (%)	92.6%
Infinite	0
Infinite (%)	0.0%
Mean	57838.43084

Minimum	1
Maximum	21000000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	46.7 KiB

Quantile statistics

Minimum	1
5-th percentile	14
Q1	100
median	700
Q3	3288
95-th percentile	54000
Maximum	21000000
Range	20999999
Interquartile range (IQR)	3188

Descriptive statistics

Standard deviation	1000249.644
Coefficient of variation (CV)	17.29385859
Kurtosis	439.6922174
Mean	57838.43084
Median Absolute Deviation (MAD)	669
Skewness	20.95380115
Sum	25506748
Variance	1.000499351 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	15	0.3%
20	9	0.2%
700	8	0.1%
1000	8	0.1%
500	7	0.1%
50	7	0.1%
5000	5	0.1%
600	5	0.1%
90	5	0.1%
6	5	0.1%
Other values (289)	367	6.2%
(Missing)	5522	92.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	3	0.1%
3	1	< 0.1%
4	3	0.1%
5	1	< 0.1%
6	5	0.1%
7	1	< 0.1%
8	2	< 0.1%
10	3	0.1%
12	1	< 0.1%

Value	Count	Frequency (%)
21000000	1	< 0.1%
500000	1	< 0.1%
280920	1	< 0.1%
256697	1	< 0.1%
188383	1	< 0.1%
184000	1	< 0.1%
181665	1	< 0.1%
169632	1	< 0.1%
163000	1	< 0.1%
160400	1	< 0.1%

Total Houses Damaged Description
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.5%
Missing	5099
Missing (%)	85.5%
Memory size	46.7 KiB

3.0	244
1.0	223
4.0	218
2.0	179

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	3.0
4th row	2.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
3.0	244	4.1%
1.0	223	3.7%
4.0	218	3.7%
2.0	179	3.0%
(Missing)	5099	85.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3.0	244	28.2%
1.0	223	25.8%
4.0	218	25.2%
2.0	179	20.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Year	Tsu	Vol	Location Name	Latitude	Longitude	Focal Depth (km)	Mag	MMI Int	Deaths	Death Description	Missing	Missing Description	Injuries	Injuries Description	Damage ($Mil)	Damage Description	Houses Destroyed	Houses Destroyed Description	Houses Damaged	Houses Damaged Description	Total Deaths	Total Death Description	Total Missing	Total Missing Description	Total Injuries	Total Injuries Description	Total Damage ($Mil)	Total Damage Description	Total Houses Destroyed	Total Houses Destroyed Description	Total Houses Damaged	Total Houses Damaged Description
0	1975	NaN	NaN	TURKEY: LICE	38.0	41.0	26.0	7.0	9.0	2311.0	4.0	NaN	NaN	3372.0	4.0	17.0	3.0	NaN	NaN	NaN	NaN	2311.0	4.0	NaN	NaN	3372.0	4.0	NaN	NaN	NaN	NaN	NaN	NaN
1	2018	NaN	NaN	TAIWAN: HUALIEN	24.0	122.0	17.0	6.0	NaN	17.0	1.0	NaN	NaN	291.0	3.0	NaN	2.0	4.0	1.0	NaN	1.0	17.0	1.0	NaN	NaN	291.0	3.0	NaN	2.0	4.0	1.0	NaN	1.0
2	1622	236.0	NaN	GREECE: S	38.0	21.0	NaN	NaN	10.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3	1876	NaN	NaN	TURKEY	39.0	31.0	NaN	NaN	10.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
4	1611	NaN	NaN	MEXICO	20.0	-99.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5	2006	NaN	NaN	INDONESIA: SUMATRA: KALIANDAK	-6.0	105.0	17.0	6.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.0	NaN	2.0	NaN	2.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.0	NaN	2.0	NaN	NaN
6	2003	NaN	NaN	INDONESIA: FLORES, RUTENG	-8.0	121.0	33.0	5.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.0	NaN	NaN	NaN	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.0	NaN	NaN	NaN	1.0
7	1861	909.0	NaN	INDONESIA: SW. SUMATRA	1.0	98.0	70.0	7.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
8	1858	NaN	NaN	PORTUGAL: SETUBAL	38.0	-9.0	NaN	NaN	10.0	6.0	1.0	NaN	NaN	NaN	NaN	NaN	3.0	605.0	3.0	605.0	3.0	6.0	1.0	NaN	NaN	NaN	NaN	NaN	3.0	605.0	3.0	NaN	NaN
9	2009	NaN	NaN	SAUDI ARABIA: WESTERN	25.0	38.0	2.0	6.0	NaN	NaN	NaN	NaN	NaN	7.0	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	7.0	1.0	NaN	NaN	NaN	NaN	NaN	NaN

Last rows

	Year	Tsu	Vol	Location Name	Latitude	Longitude	Focal Depth (km)	Mag	MMI Int	Deaths	Death Description	Missing	Missing Description	Injuries	Injuries Description	Damage ($Mil)	Damage Description	Houses Destroyed	Houses Destroyed Description	Houses Damaged	Houses Damaged Description	Total Deaths	Total Death Description	Total Missing	Total Missing Description	Total Injuries	Total Injuries Description	Total Damage ($Mil)	Total Damage Description	Total Houses Destroyed	Total Houses Destroyed Description	Total Houses Damaged	Total Houses Damaged Description
5953	2017	NaN	NaN	ITALY: ISCHIA ISLAND	41.0	14.0	3.0	4.0	NaN	2.0	1.0	NaN	NaN	42.0	1.0	NaN	2.0	NaN	2.0	NaN	2.0	2.0	1.0	NaN	NaN	42.0	1.0	NaN	2.0	NaN	2.0	NaN	2.0
5954	1599	NaN	NaN	PHILIPPINES: MANILA	15.0	121.0	NaN	NaN	8.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5955	1993	2222.0	NaN	RUSSIA: KAMCHATKA	52.0	159.0	34.0	7.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.0	NaN	NaN	NaN	NaN
5956	1883	NaN	NaN	COLOMBIA: ANTIOQUIA, YARUMAL	7.0	-77.0	NaN	6.0	7.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.0	NaN	NaN	NaN	NaN
5957	1761	NaN	NaN	CHINA: YUNNAN PROVINCE	24.0	103.0	NaN	6.0	8.0	120.0	3.0	NaN	NaN	120.0	3.0	NaN	3.0	1900.0	4.0	NaN	NaN	120.0	3.0	NaN	NaN	120.0	3.0	NaN	3.0	1900.0	4.0	NaN	NaN
5958	1846	NaN	NaN	CHILE: COIAPO	-27.0	-70.0	NaN	NaN	8.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2.0	NaN	3.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2.0	NaN	3.0	NaN	NaN
5959	1721	NaN	NaN	IRAN: TABRIZ	38.0	47.0	NaN	8.0	NaN	40000.0	4.0	NaN	NaN	NaN	NaN	NaN	4.0	NaN	4.0	NaN	NaN	40000.0	4.0	NaN	NaN	NaN	NaN	NaN	4.0	NaN	4.0	NaN	NaN
5960	1573	NaN	NaN	CHINA: GANSU PROVINCE: MINXIAN	34.0	104.0	NaN	7.0	9.0	NaN	3.0	NaN	NaN	NaN	NaN	NaN	3.0	NaN	3.0	NaN	NaN	NaN	3.0	NaN	NaN	NaN	NaN	NaN	3.0	NaN	3.0	NaN	NaN
5961	1001	NaN	NaN	ITALY: VERONA	45.0	11.0	NaN	6.0	NaN	NaN	3.0	NaN	NaN	NaN	NaN	NaN	2.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5962	1948	1783.0	NaN	INDONESIA: OFF NORTHWEST COAST	6.0	95.0	NaN	6.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks